Multilevel Spatial Analysis

Multilevel Spatial Analysis is a statistical modeling approach that examines spatially referenced cancer incidence data across multiple hierarchical levels—such as individual, neighborhood, and regional scales—while accounting for both local clustering patterns and broader geographic variation in risk factors.

509

Publications

27.9K

Citations

2.2K

Authors

847

Institutions

Publications per year

2017–2026

190

Authors

2.2K

  1. JM
    Juan Merlo

    Lund University, Sweden

    13 publications · 1.3K citations

    13

    h-index

  2. SV
    S. V. Subramanian

    Harvard University, United States

    10 publications · 425 citations

    10

    h-index

  3. ML
    Martin Lindström

    Lund University, Sweden

    6 publications · 401 citations

    6

    h-index

  4. DF
    David Fone

    Cardiff University, United Kingdom

    6 publications · 476 citations

    6

    h-index

  5. SV
    S. V. Subramanian

    Harvard University, United States

    5 publications · 458 citations

    5

    h-index

1–5 of 2.2K

Venues

  1. Social Science & Medicine

    21 publications · 2.2K citations

    20

    h-index

  2. PLoS ONE

    25 publications · 959 citations

    20

    h-index

  3. BMC Public Health

    21 publications · 1.1K citations

    15

    h-index

  4. Health & Place

    16 publications · 787 citations

    15

    h-index

  5. Journal of Epidemiology & Community Health

    12 publications · 1.1K citations

    12

    h-index

1–5